Systems for Identification of Bacteria and Fungi

Résumé fourni par la source

Abstract A proteomics‐based approach, matrix‐assisted laser desorption ionization‐time of flight mass spectrometry (MALDI‐TOF MS), was introduced in clinical microbiology laboratories between 2005 and 2010 as a highly reliable and much more rapid method for identifying bacteria and yeast. Advances in molecular tools have allowed proteomics and genomics to have a substantial role in the identification of bacteria and yeast in clinical laboratories. In many laboratories, MALDI‐TOF MS has become the primary method for bacteria and yeast identification, supplanting biochemical analysis, including automated methods. DNA target sequencing may be performed on organisms growing in pure culture. This is typically performed when automated systems in the laboratory are unable to yield an identification or they provide an unusual identification or one that conflicts with phenotypic characteristics. The use of artificial intelligence and machine learning has made its way into the clinical microbiology laboratory, largely due to the digitization of microbiology and increasing technology use.

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